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Founding CTO​/Research Lead

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: ONTHEBIAS
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Founding CTO / Research Lead

Hello, we are ONTHEBIAS - the AI workforce for physical product design and creation. We turn 40 hours of design-to-factory work into 10 minutes.

We are now investor-backed, and have helped 10,000s of designers and brands in over 46 different countries - including Nike, Puma, and thousands more.

I'm looking for Founding CTO / Research Lead
. You own the model. You own the architecture. You own the research roadmap.

What you'd build:
  • Foundation models grounded in actual manufacturing physics - seams, tolerances, fabrication processes, factory ontologies.
  • Multimodal generation across 2D, 3D, geometry, BOMs, technical specs.
  • The first model that doesn't just generate images of products - it generates products factories can actually make.
  • The research roadmap that defines a new vertical of generative AI.
  • Research that gets cited, not just shipped.
  • Hiring the research team beneath you down the road.
Who I'm looking for:
  • PhD or equivalent self-taught depth in computer graphics, computer vision, geometry processing, robotics, or related foundation-model research.
  • You've shipped research that mattered - top-venue papers, used architectures, open-source impact.
  • You read papers because you have to know.
  • You want to build something that exists in the physical world, not just on screens.
  • You're missionary about applying AI to manufacturing - the most under-served trillion-dollar layer of the economy.
  • You want to be the technical founder, not the 50th hire.
  • Experience with fashion or physical product design is a bonus.
Why this over the rest of the AI infra space:
  • Most AI infra is software-on-software. This is software-on-atoms.
  • Most foundation models are trained on internet text or images. This one is trained on the ground truth of how physical things get made.
  • Most AI-for-X is wrappers. This is the model layer itself.
Location:

SF preferred for now. Open longer-term.

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